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74110-01 - Lecture: Applied Statistics for the Behavioral Sciences in R (3 CP)
| Semester | fall semester 2025 |
| Course frequency | Every fall sem. |
| Lecturers | Marco Biella (marco.biella@unibas.ch, Assessor) |
| Content | In this course, students will learn to apply statistical methods in R to answer research questions in the behavioral sciences. With a particular focus on experimental methods, the course covers the basic principles of measuring variables, analyzing relationships between variables, and conducting and interpreting t-tests, ANOVAs, and regression models, as well as moderation, mediation, and conditional process models. Practical sessions are integrated throughout, focusing on the use of R and RStudio for data manipulation, visualization, and interpretation of statistical results. Designed to help students overcome any fear of statistics, this course prepares them for an empirical thesis in the behavioral sciences. It complements the course “Multivariate Datenanalyse” (10198-01) and focuses on statistical methods in experimental behavioral research. The course is also open to Master’s students, offering an opportunity to refresh and apply their statistical knowledge and skills. |
| Learning objectives | By the end of this course, students will be able to: 1. Understand and apply different levels of measurement and scales. 2. Perform and interpret t-tests, ANOVAs, post-hoc tests, and planned contrasts. 3. Conduct simple and multiple linear regression analyses. 4. Implement and interpret mediation and moderation models and conduct conditional process analyses. 5. Use R and RStudio to manipulate data, perform statistical analyses, and visualize results effectively. 6. Critically evaluate statistical results and their implications in the context of behavioral science research. |
| Bibliography | Field, A., Field, Z., & Miles, J. (2012). Discovering statistics using R. Hayes, A. F. (2017). Introduction to mediation, moderation, and conditional process analysis: A regression-based approach. |
| Admission requirements | There are no prerequisites for participating in this course. |
| Course application | Registration: Please enroll in the Online Services (services.unibas.ch); Eucor-Students and mobility students of other Swiss Universities or the FHNW first have to register at the University of Basel BEFORE the start of the course and receive their login data by post (e-mail address of the University of Basel). Processing time up to a week! Detailed information can be found here: https://www.unibas.ch/de/Studium/Mobilitaet.html After successful registration you can enroll for the course in the Online Services (services.unibas.ch). Applies to everyone: Enrolment = Registration for the course and the exam! |
| Language of instruction | English |
| Use of digital media | No specific media used |
| Interval | Weekday | Time | Room |
|---|---|---|---|
| wöchentlich | Tuesday | 14.15-16.00 | Wirtschaftswissenschaftliche Fakultät, Grosses PC-Labor S18 HG.37 |
Dates
| Modules |
Modul: Transfer Skills (Bachelor's Studies: Business and Economics) Modul: Wahlbereich in Wirtschaftswissenschaften (Bachelor's degree subject: Business and Economics) |
| Assessment format | record of achievement |
| Assessment details | Students will be evaluated in a final exam (80%) and based on their attendance and participation in the course (20%). final exam: tbd |
| Assessment registration/deregistration | Reg.: course registration, dereg: cancel course registration |
| Repeat examination | no repeat examination |
| Scale | 1-6 0,1 |
| Repeated registration | as often as necessary |
| Responsible faculty | Faculty of Business and Economics , studiendekanat-wwz@unibas.ch |
| Offered by | Faculty of Business and Economics |